Syllabus

Click below to expand the details for each unit, including times and locations of classes and tutorials, the lecture videos you should watch in advance, the review questions you should solve in advance, and the problem sets you should complete after each unit. Please note that all classes and tutorials will take place at Lady Margaret Hall.

Dates, Times, and Locations

MT Week 3.

  • Class (Everyone): Weds 4:30-6pm in the Lyttleton Room
  • Tutorial 1 (St Anne’s): Thurs 2-3:30pm in the Lyttleton Room
  • Tutorial 2 (LMH): Thurs 3:30-5pm in the Lyttleton Room

Videos

  • P0: Introduction
  • P1: Probability Basics
  • P2: Conditional Probability
  • P3: Independence & Bayes’ Rule

Quiz

Before class, complete the review questions for class 1. These will be the basis of the quiz at the start of class.

Problem Set

After attending class and the tutorial, complete problem set number one.

Dates, Times, and Locations

MT Week 5. Note the different day and location!

  • Class (Everyone): Tues 4:30-6pm in the Lyttleton Room
  • Tutorial 1 (St Annes): Weds 2-3:30pm in the Paul Oster Room
  • Tutorial 2 (LMH): Weds 3:30-5pm in the Paul Oster Room

Videos

  • D0: Data & Variables Intro
  • D1: Data Basics
  • D2: Probability Mass Functions
  • D3: PDFs
  • D4: CDFs
  • D5: Standardization
  • D6: Multivariate Distributions

Quiz

Before class, complete the review questions for class 2. These will be the basis of the quiz at the start of class. There will also be some additional questions based on the material covered in class 1.

Problem Set

After attending class and the tutorial, complete problem set number two.

Dates, Times, and Locations

MT Week 7

  • Class (Everyone): Weds 4:30-6pm in the Lyttleton
  • Tutorial 1 (St Anne’s): Thurs 2-3:30pm in the Lyttleton Room
  • Tutorial 2 (LMH): Thurs 3:30-5pm in the Lyttleton Room

Videos

  • M0: Intermission
  • M1: Expected Values
  • M2: Variance
  • M3: Conditional Expectations
  • M4: Correlation, Covariance, & Independence

Quiz

Before class, complete the review questions for class 3. These will be the basis of the quiz at the start of class. There will also be some additional questions based on the material covered in class 2.

Problem Set

After attending class and the tutorial, complete problem set number three.

Dates, Times, and Locations

HT Week 2. Precise times and locations TBC.

Videos

  • S0: Statistics Intro
  • S1: Populations, Samples & Random Variables
  • S2: Parameters, Statistics & Estimation
  • S3: The Law of Large Numbers & Central Limit Theorem
  • S4: Intro to Statistical Inference
  • S5: Confidence Intervals Overview
  • S5a: Confidence Intervals for Means
  • S5b: Confidence Intervals for Proportions

Quiz

Before class, complete the review questions for class 4. These will be the basis of the quiz at the start of class.

Problem Set

After attending class and the tutorial, complete problem set number four.

Dates, Times, and Locations

HT Week 4. Precise times and locations TBC.

Videos

  • S6: Tests of Statistical Hypotheses - Overview
  • S6a: Tests for Means
  • S6b: Tests for Proportions
  • S7: Confidence Intervals and Hypothesis Tests Revisited

Quiz

Before class, complete the review questions for class 5. These will be the basis of the quiz at the start of class. There will also be some additional questions based on the material covered in class 4.

Problem Set

After attending class and the tutorial, complete problem set number five.

Dates, Times, and Locations

HT Week 4. Precise times and locations TBC.

Videos

  • T0: Time Series Introduction
  • T1: Time Series Data
  • T3: Basic Operations
  • T4: Stationarity
  • T5: Some Time Series Models
  • T6: Mean Reversion
  • T7: Spurious Correlation

Quiz

Before class, complete the review questions for class 6. These will be the basis of the quiz at the start of class. There will also be some additional questions based on the material covered in class 5.

Problem Set

After attending class and the tutorial, complete problem set number six.

Dates, Times, and Locations

HT Week 4. Precise times and locations TBC.

Videos

For this class there are three sets of videos: (1) my introduction to causal inference for a general audience, (2) the lecture videos:

  • C0: Introduction
  • C1: Potential Outcomes
  • C2: Selection Bias
  • C3: Randomized Controlled Trials
  • C4: Internal and External Validity
  • C5: Natural and Quasi-experiments
  • C6: Conditional Independence

and (3) some additional videos of mine that complement the lecture videos:

Quiz

Before class, complete the review questions for class 7. These will be the basis of the quiz at the start of class. There will also be some additional questions based on the material covered in class 6.

Problem Set

After attending class and the tutorial, complete problem set number seven.